Using sigLASSO to optimize cancer mutation signatures jointly with sampling likelihood
The next generation sequencing has provided the opportunity to look for signatures of carcinogenesis on a genome wide scale. Here, the authors develop the algorithm, sigLASSO, that provides confidence in assigning mutational signatures when the mutation count is low and the samples used are variable...
Guardado en:
| Autores principales: | , , |
|---|---|
| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2020
|
| Materias: | |
| Acceso en línea: | https://doaj.org/article/d51810b840e24277acd8a315057999a1 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|